Name
Title | ||
|---|---|---|
Feedback-Based Iterative Learning Design and Synthesis With Output Constraints for Robotic Manipulators. |
Abstract | ||
|---|---|---|
Feedback-based iterative learning control (ILC) has been proposed to improve the unacceptable transient performance (either in state or in output) in the iteration-domain. This letter addresses a special performance requirement of output constraints, which are motivated from the safety requirements in robotic manipulators. A barrier-function like Lyapunov function is used to design a new state fee... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LCSYS.2018.2842186 | IEEE Control Systems Letters |
Keywords | Field | DocType |
Convergence,Manipulators,State feedback,Standards,Safety,Lyapunov methods | Convergence (routing),Performance requirement,Lyapunov function,Control theory,Computer science,Control theory,Rehabilitation robot,Iterative learning control,Robot manipulator,Trajectory | Journal |
Volume | Issue | ISSN |
2 | 3 | 2475-1456 |
Citations | PageRank | References |
3 | 0.40 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gijo Sebastian | 1 | 9 | 2.88 |
| Ying Tan | 2 | 737 | 86.47 |
| Denny Oetomo | 3 | 100 | 31.30 |
| Iven Mareels | 4 | 884 | 129.28 |